Raw Code, Real Maturity: 10 Unpolished Screenshots from My Current Build Cycle

Stop waiting for the perfect documentation before you start building your next UI component. I spent the last few weeks heads-down on a series of projects, and I’ve realized that my best architectural decisions didn't come from a textbook—they came from staring at the messy, half-broken state of my local environment until the logic finally clicked. When you’re in the thick of it, the difference between a prototype and a product is often just the sheer volume of iterations you’re willing to push through. I’ve been documenting my progress through screenshots as I go, capturing everything from the initial grid layouts to the final state management tweaks. Instead of hiding the rough edges, I’m sharing this batch of 10 snapshots of my current workflow. You’ll see the evolution of dashboards, interface components, and the backend structures that actually make them tick. The takeaway? Your progress is visible only if you track the small shifts. When you look back at these, you don't see "finished" work—you see the problem-solving steps that actually build developer skill. Check out these snippets of my recent build phase. These aren't just pretty UIs; they are the result of constant refactoring and testing real-world data flows. If you’re stuck on a feature, my advice is to stop polishing the planning phase and start committing the WIP. Your future self will thank you for having a visual history of how you solved that tricky edge case. #webdevelopment #codinglife #buildinpublic #softwareengineering #frontenddevelopment

𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝘂𝘀𝗲𝗥𝗲𝗱𝘂𝗰𝗲𝗿: 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗦𝘁𝗮𝘁𝗲 𝗟𝗼𝗴𝗶𝗰 If you've built a complex React component, you know how hard it can be to manage state. You start with simple boolean toggles and string values, but soon you have a tangled web of interdependent state updates. You can use useReducer to make your state logic more declarative, testable, and maintainable. It's perfect for managing sophisticated state transitions. Here's how useReducer works: - It takes a reducer function and an initial state. - It returns an array with two elements: the current state and a dispatch function. You update state by dispatching an action, typically a plain object with a type property. When to use useReducer: - State with multiple sub-values that change together. - Complex state transitions where the next state depends on the previous state and the action. - Business logic that needs to be tested independently of the React component tree. When to stick with useState: - Independent primitive values. - Simple state that doesn't involve complex transitions. - Local, component-specific UI state. Try refactoring a component in your current project with useReducer. Define your state shape, write the reducer function, and replace those scattered setState calls with descriptive dispatch actions. Source: https://lnkd.in/g2YXxE2X

While working on UI recently, I came across something that many beginner projects ignore layered frontend architecture. At the start, most of us write everything in one place: UI + API calls + logic + state handling all inside a single component. It works for small projects. But as the application grows, components quickly become messy and hard to maintain. That’s why many modern frontend projects follow a layered structure. A simple way to think about it is with 4 layers. 1️⃣ UI Layer This layer is only responsible for rendering the interface. Buttons, cards, forms, layouts. It should not contain business logic or API calls. Example: <LoginForm /> <MovieCard /> 2️⃣ Hooks Layer Custom hooks manage logic and side effects. Things like: • fetching data • handling loading states • form logic Example: useMovies() useAuth() This keeps logic reusable across multiple components. 3️⃣ API Layer This layer handles communication with the backend. Instead of calling fetch or axios directly inside components, we centralize API calls. Example: getMovies() loginUser() getTrending() This makes API changes easier to manage. 4️⃣ State / Service Layer This layer manages global state or business rules. Examples: • Redux / Context state • caching • derived data It acts as the central source of truth for the application. By separating these layers, the project becomes: • easier to scale • easier to debug • easier to maintain Small architectural decisions like this make a big difference once an application grows beyond just a few components. Still learning how better structure leads to better software. #FrontendDevelopment #ReactJS #SoftwareArchitecture #WebDevelopment

If your component is over 200 lines… it’s not just a component anymore. At some point, every developer writes one. A component that keeps growing. 50 lines… 100 lines… 200+ lines… And before you know it… Everything is inside one file. You’ll start seeing things like: – API calls – state management – business logic – UI rendering – event handling All mixed together. It works. But it becomes harder to: – read – debug – reuse – extend I’ve learned this the hard way. Long components don’t just make your code look messy… They hide problems. Now, when a component starts growing, I pause and ask: 👉 “What is this component really responsible for?” Because most times… it’s doing too much. How I break it down now Instead of one large component, I separate concerns: – UI components → just rendering – logic/hooks → state & behaviour – API layer → data fetching – utils/helpers → reusable logic If a file is getting too long, it’s usually a signal: Something needs to be extracted. Not everything needs to stay together. Clear structure makes everything easier: – easier to test – easier to scale – easier for others to understand Because here’s the truth: Readable code scales. Crowded code doesn’t. You don’t fix structure later. You maintain it as you build. #Frontend #React #SoftwareEngineering #CleanCode #WebDevelopment

Ever wondered why some dashboards feel instant while others freeze the moment you scroll or download a report? Imagine walking into a library and asking for every book at once. The problem isn’t the number of books — it’s trying to handle all of them simultaneously. Frontend applications behave the same way. Rendering thousands of rows, applying filters on the entire dataset, and generating large PDFs on the client side itself can easily block the main thread. Since the browser is single-threaded for UI work, heavy computations directly impact responsiveness. The key is not to “optimize harder” but to change the strategy: • Render only what’s visible (virtualization technique) instead of the full dataset • Process large data in chunks instead of a single blocking operation • Offload heavy tasks like filtering or PDF generation to Web Workers • Cache and reuse data instead of recomputing everything • Provide progressive feedback (loading states, progress bars) At scale, performance is less about algorithms and more about respecting the browser’s limits. Good frontend engineering isn’t just about building features — it’s about ensuring they feel fast, even when the data isn’t small. #frontend #engineering

Headline: Day 3/30: From Static Design to a Functional Engine What I Built Today: Today was all about turning my FocusFlow dashboard into a living, breathing application. I successfully implemented a Dynamic Energy Filtering System. The Core Feature: Users can now toggle between "High Power," "Medium," and "Low Energy" modes. The Intelligence: The dashboard doesn't just filter tasks; it now communicates. I added a dynamic status message that updates in real-time to tell the user exactly how many tasks match their current "bandwidth." The UI: Restored the "View Breakdown" and "Time" indicators on the Task Cards to ensure full data transparency for the user. Technical Challenge: State Synchronization & Box-Model Clipping The Issue: Filtered counts were lagging behind state updates (Stale Closures), and active-state CSS transforms (scale-105) were being clipped by the container’s overflow boundaries on mobile. The Solution: Declarative Derivation & Layout Buffering The Fix: Switched from manual state updates to Declarative Derivation, calculating filtered data during the render pass for 100% sync. Fixed mobile clipping by refactoring the container to a flex-wrap layout with inset padding to accommodate the button's transformation box. Consistency is hard, but functionality is worth the fight! shout-out to The Engineer Network for the push 🙌 GitHub: https://lnkd.in/dn_4S7EV Demo Link: https://lnkd.in/dk6j3kJY #Eng30DayChallenge #BuildInPublic #NextJS #FrontendDev #EngShipIt

80% of the code that powers a seamless user interface never actually makes it into the final repository. We spend days drafting, refactoring, and sometimes completely abandoning local experiments that the end user never sees. I’ve been diving deep into my local workspace recently and pulled out these 10 snapshots of my current build process. Looking back at them, it’s a chaotic map of how I actually arrived at the current iteration: - Broken layout states that taught me more about CSS Grid than the documentation did. - Early API response logs that were definitely not optimized for speed. - The "v1" components that looked good on paper but failed under real data constraints. - Experimental dashboards that forced me to rethink my entire state management logic. There is a strange comfort in keeping these raw screenshots. They serve as a reminder that "polished" software is just a series of deliberate corrections made to a very messy initial thought. If you’re currently staring at a screen filled with errors or a UI that just doesn’t feel right, remember that you’re likely in the most important part of the cycle. Don’t hide the friction—use it to build a better mental model of the problem you’re solving. I’m curious: when you’re deep in the middle of a project, do you clean your workspace as you go, or do you let the chaos accumulate until the final build? #SoftwareEngineering #WebDevelopment #CodingLife #BuildInPublic #DeveloperExperience

Most frontend projects start clean... but after months they turn into a mess. Too many folders.Too many unrelated files.And finding the right code becomes painful. So instead of structuring my frontend projects by file type, I structure them by FEATURES (Modules). This approach is inspired by HMVC architecture, and it works extremely well for scalable applications. Here is the structure I usually use: modules/   └── user/       📁 components(if in this feature only)       📁 container       📁 views       📁 logic       📁 types Each module owns everything related to its feature. No scattered files. No hunting for logic across the project. Just one module → everything inside it. What each folder does: 📦 componentsReusable UI elements that belong to the module. 🧠 logicHooks, state handling, and business logic. 🎛 containerConnects logic with the UI layer. 🖥 viewsPure UI rendering. 🧾 typesTypeScript interfaces and models. Why I love this architecture: ✔ Easier to scale large applications ✔ Cleaner separation of concerns ✔ Faster onboarding for new developers ✔ Features become completely isolated ✔ Code becomes easier to maintain This structure works especially well for large dashboards, SaaS platforms, and enterprise applications. Good developers write code. Great developers design systems that scale. 💬 Curious how other developers structure their frontend projects. Do you prefer feature-based architectureor layer-based architecture? #frontend #reactjs #softwarearchitecture #webdevelopment #typescript #programmers

Three months ago, my workspace was a collection of fragmented notes and a broken local environment that refused to compile. Today, it is a cohesive system handling data streams and user interactions that I once thought were beyond my reach. The jump from "this shouldn't be happening" to "this is actually working" isn't magic. It is just the cumulative result of showing up when the code isn't cooperating. I spent the last week organizing my progress, and I’m sharing these 10 snapshots of my current build. They aren’t just UI components or database schemas; they represent the specific technical hurdles I had to clear to get from point A to point B. You’ll see a mix of dashboard states, API integration flows, and some of the messy boilerplate that eventually transformed into a clean, modular architecture. My biggest takeaway from this cycle? Don’t wait for the project to look "finished" before you examine your own workflow. Documenting the intermediate states—the ones that look a bit rough around the edges—is often more valuable than showing off the final, polished pixel-perfect result. It helps you see where you wasted time and where you found your flow. I’m curious—when you look back at your own progress photos or commit logs, what is the one thing you realize you spent way too much time worrying about? #buildinpublic #softwaredevelopment #webdevelopment #codinglife #productivity

If you had to look back at your screen recordings or file history from three months ago, would you recognize the person who wrote that code? We often treat our development progress as a straight line, but my recent work looks more like a collection of zig-zags. I’ve been digging through my archives and pulled 8 screenshots that represent the last few weeks of building. Looking at these, it’s easy to focus on the UI polish or the final state of the dashboards. But what I actually see when I look at these files is: - The moment I decided to refactor an entire state management flow because the previous version felt brittle. - The trial-and-error sessions spent tweaking responsiveness until the layout finally felt natural on mobile. - The subtle shift from purely functional code to a more modular architecture that actually scales. There is a massive difference between knowing how to build something and knowing how to build something that lasts. I’m starting to realize that my best work isn't the "finished" product, but the version that actually survived the stress test of real-world use cases. I’ve attached a few snapshots of what’s been on my monitors lately. From raw terminal logs to finalized user flows, this is what the reality of my recent projects looks like. If you’re currently stuck in the middle of a project that feels more like a prototype than a product, remember that you’re likely closer to the solution than you realize. Keep pushing through the messy middle. What’s one thing you’ve learned recently that changed how you approach your development workflow? 🚀 #buildinpublic #webdevelopment #softwareengineering #codingjourney #javascript